{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:AIGED7LNWPT7DTVRFF4K7EDS6E","short_pith_number":"pith:AIGED7LN","canonical_record":{"source":{"id":"1806.09440","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T13:17:35Z","cross_cats_sorted":[],"title_canon_sha256":"13a8db018542184bf08702b2adb8afb7c7a595bbed37f640a03f7126c4d2a617","abstract_canon_sha256":"c3c8d4afedab232fa0c9438de129b4bc2149fea4d0512d2aa29e34792ebfc9d9"},"schema_version":"1.0"},"canonical_sha256":"020c41fd6db3e7f1ceb12978af9072f1170d1b21b0d24adf0e6e80588489e995","source":{"kind":"arxiv","id":"1806.09440","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.09440","created_at":"2026-05-17T23:55:58Z"},{"alias_kind":"arxiv_version","alias_value":"1806.09440v2","created_at":"2026-05-17T23:55:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.09440","created_at":"2026-05-17T23:55:58Z"},{"alias_kind":"pith_short_12","alias_value":"AIGED7LNWPT7","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AIGED7LNWPT7DTVR","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AIGED7LN","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:AIGED7LNWPT7DTVRFF4K7EDS6E","target":"record","payload":{"canonical_record":{"source":{"id":"1806.09440","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T13:17:35Z","cross_cats_sorted":[],"title_canon_sha256":"13a8db018542184bf08702b2adb8afb7c7a595bbed37f640a03f7126c4d2a617","abstract_canon_sha256":"c3c8d4afedab232fa0c9438de129b4bc2149fea4d0512d2aa29e34792ebfc9d9"},"schema_version":"1.0"},"canonical_sha256":"020c41fd6db3e7f1ceb12978af9072f1170d1b21b0d24adf0e6e80588489e995","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:58.383339Z","signature_b64":"p9Q36/EFOmPexzOSSFoAnrBcUswtP57o7v44dyioLcsS2522vHoAQNzKM/nXKf47swswbsvTYPTsJnNfTjfRBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"020c41fd6db3e7f1ceb12978af9072f1170d1b21b0d24adf0e6e80588489e995","last_reissued_at":"2026-05-17T23:55:58.382720Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:58.382720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.09440","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:55:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wVeme6pqjvM0Eh7ubgFFXQc0MeHJRdZ4v5/4X53w5DU7zSeeFv8PTgscvK0cL2m9NgHf5ArWuHOZUkq+LCD7Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T03:47:54.308648Z"},"content_sha256":"55e689f9aaa358ed31740b35cb8d2859be48dd8e2caed1209556208e6c919132","schema_version":"1.0","event_id":"sha256:55e689f9aaa358ed31740b35cb8d2859be48dd8e2caed1209556208e6c919132"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:AIGED7LNWPT7DTVRFF4K7EDS6E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Gaussian process regression for forest attribute estimation from airborne laser scanning data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Aku Sepp\\\"anen, Matti Maltamo, Petri Varvia, Petteri Packalen, Timo L\\\"ahivaara","submitted_at":"2018-06-25T13:17:35Z","abstract_excerpt":"While the analysis of airborne laser scanning (ALS) data often provides reliable estimates for certain forest stand attributes -- such as total volume or basal area -- there is still room for improvement, especially in estimating species-specific attributes. Moreover, while information on the estimate uncertainty would be useful in various economic and environmental analyses on forests, a computationally feasible framework for uncertainty quantifying in ALS is still missing. In this article, the species-specific stand attribute estimation and uncertainty quantification (UQ) is approached using"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.09440","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:55:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uhf9g26Z8ahT+a909tazhgN0Mn76Y7WzPwx/pjRpdWYSYvZPpsq8+pxWGNsVu07RS+GpPCykx6ut8zHPpHq3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T03:47:54.308984Z"},"content_sha256":"48024d6956cf5fa59857a6d2f50ebd50e38f6da17ccd08e69ccfd53bd7850e1b","schema_version":"1.0","event_id":"sha256:48024d6956cf5fa59857a6d2f50ebd50e38f6da17ccd08e69ccfd53bd7850e1b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AIGED7LNWPT7DTVRFF4K7EDS6E/bundle.json","state_url":"https://pith.science/pith/AIGED7LNWPT7DTVRFF4K7EDS6E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AIGED7LNWPT7DTVRFF4K7EDS6E/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-03T03:47:54Z","links":{"resolver":"https://pith.science/pith/AIGED7LNWPT7DTVRFF4K7EDS6E","bundle":"https://pith.science/pith/AIGED7LNWPT7DTVRFF4K7EDS6E/bundle.json","state":"https://pith.science/pith/AIGED7LNWPT7DTVRFF4K7EDS6E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AIGED7LNWPT7DTVRFF4K7EDS6E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AIGED7LNWPT7DTVRFF4K7EDS6E","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c3c8d4afedab232fa0c9438de129b4bc2149fea4d0512d2aa29e34792ebfc9d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T13:17:35Z","title_canon_sha256":"13a8db018542184bf08702b2adb8afb7c7a595bbed37f640a03f7126c4d2a617"},"schema_version":"1.0","source":{"id":"1806.09440","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.09440","created_at":"2026-05-17T23:55:58Z"},{"alias_kind":"arxiv_version","alias_value":"1806.09440v2","created_at":"2026-05-17T23:55:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.09440","created_at":"2026-05-17T23:55:58Z"},{"alias_kind":"pith_short_12","alias_value":"AIGED7LNWPT7","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AIGED7LNWPT7DTVR","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AIGED7LN","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:48024d6956cf5fa59857a6d2f50ebd50e38f6da17ccd08e69ccfd53bd7850e1b","target":"graph","created_at":"2026-05-17T23:55:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"While the analysis of airborne laser scanning (ALS) data often provides reliable estimates for certain forest stand attributes -- such as total volume or basal area -- there is still room for improvement, especially in estimating species-specific attributes. Moreover, while information on the estimate uncertainty would be useful in various economic and environmental analyses on forests, a computationally feasible framework for uncertainty quantifying in ALS is still missing. In this article, the species-specific stand attribute estimation and uncertainty quantification (UQ) is approached using","authors_text":"Aku Sepp\\\"anen, Matti Maltamo, Petri Varvia, Petteri Packalen, Timo L\\\"ahivaara","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T13:17:35Z","title":"Gaussian process regression for forest attribute estimation from airborne laser scanning data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.09440","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:55e689f9aaa358ed31740b35cb8d2859be48dd8e2caed1209556208e6c919132","target":"record","created_at":"2026-05-17T23:55:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c3c8d4afedab232fa0c9438de129b4bc2149fea4d0512d2aa29e34792ebfc9d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T13:17:35Z","title_canon_sha256":"13a8db018542184bf08702b2adb8afb7c7a595bbed37f640a03f7126c4d2a617"},"schema_version":"1.0","source":{"id":"1806.09440","kind":"arxiv","version":2}},"canonical_sha256":"020c41fd6db3e7f1ceb12978af9072f1170d1b21b0d24adf0e6e80588489e995","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"020c41fd6db3e7f1ceb12978af9072f1170d1b21b0d24adf0e6e80588489e995","first_computed_at":"2026-05-17T23:55:58.382720Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:58.382720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p9Q36/EFOmPexzOSSFoAnrBcUswtP57o7v44dyioLcsS2522vHoAQNzKM/nXKf47swswbsvTYPTsJnNfTjfRBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:58.383339Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.09440","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55e689f9aaa358ed31740b35cb8d2859be48dd8e2caed1209556208e6c919132","sha256:48024d6956cf5fa59857a6d2f50ebd50e38f6da17ccd08e69ccfd53bd7850e1b"],"state_sha256":"9786f7194a8f0eaff347c4e946fd9b07f020fdd17a63615d0e28eda5c9a5a293"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nsFgM/O7hd2cextZF0hK9tPvy0eJviN7cEMXUk9F9zCpJhPr26OGIi/WU80ZZB23FVnFuwSvzj08smuIcPxpCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T03:47:54.310941Z","bundle_sha256":"d93fb6d08455292c41bf23fdca4325664242e26c06953581acac9a44a2ea32d8"}}